The KRIGE2D Procedure

Syntax: KRIGE2D Procedure

The following statements are available in the KRIGE2D procedure:

PROC KRIGE2D options ;
BY variables ;
COORDINATES | COORD coordinate-variables ;
GRID grid-options ;
ID variable ;
PREDICT | PRED | P predict-options ;
MODEL model-options ;
RESTORE restore-options ;

The PREDICT and MODEL statements are hierarchical; the PREDICT statement is followed by a MODEL statement. If more than one MODEL statement is given, only the last one is used for the analysis. The MODEL statement following a PREDICT statement uses the variable and neighborhood specifications in that PREDICT statement.

You must specify at least one PREDICT statement and one MODEL statement. You must supply a single COORDINATES statement to identify the x and y coordinate variables in the input data set. You must also specify a single GRID statement to include the grid information.

Table 49.1 outlines the options available in PROC KRIGE2D classified by function.

Table 49.1: Options Available in the KRIGE2D Procedure

Task	Statement	Option
Data Set Options
Specifies input data set	PROC KRIGE2D	DATA=
Specifies grid data set	GRID	GDATA=
Specifies labels for individual grid points or in 1-D	GRID	LABEL
Specifies model data set	MODEL	MDATA=
Writes kriging predictions and standard errors	PROC KRIGE2D	OUTEST=
Writes neighborhood information for each grid point	PROC KRIGE2D	OUTNBHD=
Specifies plot display and options	PROC KRIGE2D	PLOTS
Declaring the Role of Variables
Specifies variables to define analysis subgroups	BY
Specifies variable with observation labels	ID
Specifies the variables to be predicted (kriged)	PREDICT	VAR=
Specifies the x and y coordinate variables in the DATA= data set	COORDINATES	XC= YC=
Specifies the x and y coordinate variables in the GDATA= data set	GRID	XC= YC=
Controlling the Prediction
Specifies the number of grid points in one-dimensional cases	GRID	NPTS=
Controlling Kriging Neighborhoods
Specifies the radius of a neighborhood for all grid points	PREDICT	RADIUS=
Specifies the number of neighbors for all grid points	PREDICT	NUMPOINTS=
Specifies the maximum of neighbors for all grid points	PREDICT	MAXPOINTS=
Specifies the minimum of neighbors for all grid points	PREDICT	MINPOINTS=
Specifies the action when maximum not met	PREDICT	NODECREMENT
Specifies the action when minimum not met	PREDICT	NOINCREMENT
Controlling the Semivariogram Model
Specifies an angle for an anisotropic model	MODEL	ANGLE=
Specifies a type with a functional form	MODEL	FORM=
Specifies an item store with correlation information	RESTORE	IN=
Specifies a nugget effect	MODEL	NUGGET=
Allows power exponent values outside [0,2)	MODEL	POWNOBOUND
Specifies a range parameter	MODEL	RANGE=
Specifies a minor-major axis ratio for an anisotropic model	MODEL	RATIO=
Specifies a scale parameter	MODEL	SCALE=
Specifies model and parameters from an item store	MODEL	STORESELECT